Fuzzy Logic & Probability Theory: Ä£ºý߉݋Åc¸ÅÂÊÕ“
                        Clarification towards Building a Bridge

                        Fuzzy logic and probability theory are the most powerful tools to overcome the imperfection (see Fig.1). Fuzzy logic is mainly responsible for representation and processing of vague data (ill-defined, fuzzy). Probability theory is mainly responsible for representation and processing of uncertainty (randomness).


                        Fig.1. Imperfection and theories to handle it.

                        Following table clarifies the differences between the two theories.

                        Probability Measure

                        Membership Function

                        Calculates the probability that an
                        ill-known variable x ranging on U hits the well-known set A

                        Calculates the membership of a
                        well-known variable x ranging on U hits the ill-known set A

                        Before an event happens

                        After it happened

                        Measure Theory

                        Set Theory

                        Domain is 2U (Boolean Algebra)

                        Domain is [0,1]U (Cannot be a Boolean Algebra)

                        A Bridge

                        Consider the following statements:

                        In such cases (which are very usual in pattern recognition, for instance), we are interested in probability of an event that cannot be defined exactly. Therefore, the only sophisticated way is to calculate the probability of a fuzzy event represented by a fuzzy set:

                        Probability space

                        Membership function

                        The probability of the fuzzy event F

                        For more details see following papers/books:

                        1. Probability measures of fuzzy events, L.A.Zadeh, Journal Math. Anal. Appl., vol 23, pp. 421-427, 1968

                        2. Fuzzy Sets as a basis for a theory of possibility, L.A. Zadeh, Fuzzy Sets and Systems, vol. 1, pp. 3-28, 1978

                        3. Possibility Theory, D.Dubois, H. Prade, Plenum Press, 1988

                        4. Fuzzy sets and probability : Misunderstandings, bridges and gaps, D.Dubois, H. Prade, Proc. of the Second IEEE Inter. Conf. on Fuzzy Systems, volume 2, pp. 1059-1068, 1993

                              
                              

                                              ɧbÉ«ÓûÍø